Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation
Cappellari, Lorenzo; and Jenkins, Stephen P.
(2006)
Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation
Stata Journal, 6 (2).
pp. 156-189.
ISSN 1536-867X
We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: mdraws for deriving draws from the standard uniform density using either Halton or pseudorandom sequences, and an egen function, mvnp(), for calculating the probabilities themselves. Several illustrations show how the programs may be used for maximum simulated likelihood estimation.
| Item Type | Article |
|---|---|
| Keywords | mdraws,egen function mvnp(),simulation estimation,maximum simulated likelihood,multivariate probit,Halton sequences,pseudorandom sequences,multivariate normal,GHK simulator |
| Departments |
Social Policy STICERD |
| Date Deposited | 03 Feb 2011 10:38 |
| URI | https://researchonline.lse.ac.uk/id/eprint/32065 |
Explore Further
ORCID: https://orcid.org/0000-0002-8305-9774